Associate Machine Learning Engineer (100% remote-friendly within Poland)

Area of Work

You will join our global Machine Learning and Data Science unit - a core team of machine learning scientists (LLM, ASR), engineers and an expanding group of country-specific linguists - embedded in the ever growing Noa product organization used daily by doctors in Brazil, Mexico, Poland, Italy, Spain and Germany. Noa.ai’s mission is to broaden access to top-quality healthcare first by lifting administrative burdens from clinicians and, in the near future, by assuming selected medical tasks. Our most famous product is Noa Notes, which records consultations, transcribes the audio and produces a structured draft of the medical record.

By design, we operate cross-functionally, moving ideas from prototyping and rapid validation to full-scale production with state-of-the-art ML frameworks and modern MLOps practices. We begin with rapid validation sprints when engineers, product managers, and product developers work side by side on early experiments, then centralise and consolidate proven capabilities, standardizing validation methods and engineering best practices through shared tools, frameworks, and lifecycles.

Role

As a Machine Learning Engineer in the Noa ML team you will support a product area within our Noa organisation to deliver end to end ML capabilities. You will work alongside other machine learning professionals at various seniority levels and report directly into the Head of Machine Learning & Data Science.

Backed by a strong engineering culture, we pair industry-leading ML rigor with pragmatic delivery, making smart trade-offs to ship value quickly and iterate fast. In this role, you’ll work alongside exceptional engineers and scientists on one of Docplanner’s most strategic initiatives, leveraging a cutting-edge tech stack to push the boundaries of AI in healthcare.

Our tech stack includes Python, Pytorch, Whisper, FastAPI - among the others - running on Kubernetes in AWS.

What you will be doing

• Work closely with cross-functional teams, including scientists, engineers, and product stakeholders, to deliver AI-driven machine learning initiatives that directly contribute business objectives.

• Design, deploy and iterate over ML services for diverse data types (e.g., audio, text), while proactively identifying and eliminating performance bottlenecks driving continuous improvements.

• Assess platform engineering and MLOps bottlenecks; research and design scalable GPU resource-optimization strategies, and recommend solutions that balance performance, cost, and reliability.

• Research, architect, and deploy LLM-powered information retrieval solutions (eg. RAG) to deliver accurate and scalable results in complex, multilingual product environments.

• Partner with the AI Platform team to refine MLOps best practices, evolve frameworks, and establish efficient, scalable workflows.

• Architect, deploy, and maintain high-throughput, reliable data pipelines to support training-set curation and data-annotation tooling.

• At least one year of professional experience as an ML Engineer or Data Scientist in a fast-paced, product-driven tech environment.

• Demonstrated expertise in production-grade MLOps, leveraging, for example, orchestration with Kubernetes, model serving via FastAPI, NVIDIA Triton and KServe, Apache Airflow for data pipelines.

• Good understanding and proficiency in deep learning frameworks such as PyTorch or TensorFlow.

• Proven ability to integrate, deploy, and optimize large language models in production-grade industry environments, ensuring scalability and robust performance. Knowledgeable in prompt engineering, basis of agent‐based workflows, and the generation and manipulation of embeddings.

• Problem-solving mindset and adaptability in dynamic environments with a focus on delivering business value to end customers.

• Proven ability to manage timelines, prioritize tasks, and deliver results under tight deadlines.

• Curiosity and eagerness to collaborate with cross-functional teams (e.g., product, marketing, engineering)

Let’s talk money

• A salary adequate to your experience and skills. The range is broad so that we can accommodate our roles for all levels of experience, but we will show you the career ladder to explain where we see your skills and impact within the company". Your salary will be, now and always, 100% transparent to you
• Share options plan after 6 months of working with us.

True flexibility and work-life balance

• Remote or hybrid work model with or hub in Warsaw;
• Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly);
• 26 days of paid time off (depending on your contract);
• Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate).

Health comes first

• Private healthcare plan with Signal Iduna for you and subsidized for your family.
• Multisport card co-financing for you to have access to sports facilities across Poland.
• Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling.

We promote and embrace equal opportunities in our hiring process, and also every day at work. When you apply for our roles you receive equal treatment regardless of age, disabilities, gender reassignment, marital or civil partner status, pregnancy or parental status, race, colour, nationality, ethnic or national origin, religion or belief, sex, sexual orientation or any other dimension of human difference. If you require additional support in your recruitment process, we kindly encourage you to let us know. Behind those words you’re reading, there’s a person (hi!) who already helped a candidate by adapting the interviews, and now we’re lucky to have this person with us. So, even if you’ve never asked for it before, may this serve as a sign that, now, you can do so. We can only truly be equal if we adapt to each other.

“We believe all humans, in all their beautiful diversity, should have equal rights, dignity and respect. Period.” Mariusz Gralewski, CEO